A simple Flask application that can serve predictions machine learning model. Reads a pickled sklearn model into memory when the Flask app is started and returns predictions through the /predict ...

1 School of Taxation and Public Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China. 2 School of Business, Computing and Social Sciences, University of Gloucestershire ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

Dusty plasma, a mixture of ions, electrons, and charged dust particles, is common throughout the universe. Understanding and modeling dusty plasma require precise knowledge of the complex interactions ...

Biomacromolecules, primarily proteins, DNA, and RNA, are crucial for vital physiological processes. Biomacromolecules can generally be represented by sequences, comprising series of strings, which are ...

Abstract: Various machine learning frameworks have their format in which they accept the model. ONNX is an open format. These models are the representation of the neural network with weights after ...

Abstract: Many of the existing machine learning models for health care analysis are concentrating on one disease per analysis. Like one analysis if for diabetes analysis, one for cancer analysis, one ...